Back to Tools
AI Tool Comparison
n8n vs Make
A detailed side-by-side comparison to help you choose the right AI tool for your needs.
Feature Comparison
Core Builder
Feature
n8n
Make
Visual Workflow Builder
Drag-and-drop interface for building automations
Intuitive canvas workflow builder
Drag-and-drop scenario builder
Code/Script Execution
Execute custom code (JavaScript, Python, etc.)
JavaScript and Python code nodes
JavaScript in code modules
Conditional Logic/Branching
If/else conditions and routing logic
IF and Switch nodes for branching
Routers for branching logic
Loops & Iterators
Process arrays and repeat actions
Loop and Split in Batches nodes
Iterators and Aggregators
Data & Storage
Feature
n8n
Make
Built-in Data Storage
Store and retrieve data within the platform
Requires external database
Built-in Data Stores feature
Variables & Data Mapping
Map and transform data between steps
Expression-based data mapping
Full data mapping capabilities
Triggers & Scheduling
Feature
n8n
Make
Webhook Triggers
Start automations via HTTP webhooks
Webhook triggers available
Webhook triggers available
Scheduled Triggers
Run automations on a schedule (cron)
Cron-based scheduling
Scheduled scenario runs
Event-based Triggers
Trigger from app events (new email, form submit)
Event-based app triggers
Event-based app triggers
Integrations
Feature
n8n
Make
Pre-built App Integrations
Ready-to-use connectors for popular apps
400+ app integrations
1500+ app integrations
Custom HTTP/API Requests
Connect to any API endpoint
HTTP Request node for any API
HTTP module for any API
Database Integrations
Connect to SQL, NoSQL databases
PostgreSQL, MySQL, MongoDB nodes
SQL and NoSQL connectors
Advanced Features
Feature
n8n
Make
Error Handling & Retries
Automatic retries and error recovery
Error trigger and retry on fail
Error handlers and retry logic
Sub-workflows/Reusable Modules
Create reusable automation components
Sub-workflows feature
Limited sub-workflow support
Version Control
Track changes and rollback workflows
Built-in version history
Blueprint cloning only, no true versioning
AI/LLM Integration
Built-in AI capabilities or LLM nodes
AI agent and LLM nodes
OpenAI, Claude, and AI modules
Deployment
Feature
n8n
Make
Self-hosting Option
Deploy on your own infrastructure
Docker and npm self-hosting
Cloud-only platform
Cloud Hosted
Fully managed cloud solution
n8n Cloud available
Fully managed cloud
Collaboration
Feature
n8n
Make
Team Collaboration
Multiple users can work on workflows
Multi-user workspaces
Teams feature available
Role-based Access Control
Control permissions by user role
Role-based access control
Role permissions in Teams plans
Audit Logs
Track all changes and executions
Execution logs and history
Available in Teams/Enterprise
Pros & Cons
n8n
Pros
- Execution-based pricing instead of per-task billing, making costs more predictable at scale
- Full code fallback with JavaScript and Python support, plus npm packages on self-hosted
- Self-hosting option gives complete control over data and infrastructure
- 400+ pre-built integrations with the ability to connect to any API via HTTP request node
- Built-in AI and LangChain nodes for building AI agents and chatbots within workflows
Cons
- Fewer pre-built integrations (1,000+) compared to Zapier's 8,000+
- Self-hosted setup requires technical expertise to manage and scale
- No permanent free tier for cloud hosting — only a 14-day trial
- Pricing in EUR may be inconvenient for non-European users
Make
Pros
- Visual drag-and-drop builder makes complex multi-step workflows easy to understand and debug
- Massive library of 3,000+ verified app integrations covering virtually every SaaS tool category
- Generous free tier with no time limit allows users to start automating without financial commitment
- Built-in AI agent capabilities and 350+ AI app integrations reduce need for separate AI orchestration tools
- Supports custom JavaScript and Python code execution for advanced logic when no-code isn't enough
Cons
- Credit-based pricing can become expensive at scale as each module action consumes credits
- Complex automations with many steps consume credits quickly, making costs harder to predict
- The visual builder, while accessible, has a learning curve for building advanced conditional logic and error handling
- Feature differentiation between Core and Pro tiers is not immediately clear from the pricing page